Generalized Pareto Distribution Model and Its Application to Hydrocarbon Resource Structure Prediction of the Huanghua Depression

被引:1
作者
Liu Xiaoping Jin Zhijun Chen Shanyong and Liu Lifang Basin and Reservoir Research Center China University of Petroleum Beijing China Key Laboratory for Hydrocarbon Accumulation Mechanism of Ministry Education China University of Petroleum Beijing China Exploration and Production Research Institute SINOPEC Beijing China Science and Technology Information Department of Dagang Oilfield CNPC Tianjing China China University of Geosciences Beijing China [1 ,2 ,3 ,4 ,5 ,1 ,102249 ,2 ,102249 ,3 ,100083 ,4 ,300280 ,5 ,100083 ]
机构
关键词
Generalized Pareto distribution model; hydrocarbon resource assessment; hydrocarbon resource structure; Huanghua depression;
D O I
暂无
中图分类号
P618.13 [石油、天然气];
学科分类号
0709 ; 081803 ;
摘要
The generalized Pareto distribution model is a kind of hydrocarbon pool size probability statistical method for resource assessment. By introducing the time variable, resource conversion rate and the geological variable, resource density, such model can describe not only different types of basins, but also any exploration samples at different phases of exploration, up to the parent population. It is a dynamic distribution model with profound geological significance and wide applicability. Its basic principle and the process of resource assessment are described in this paper. The petroleum accumulation system is an appropriate assessment unit for such method. The hydrocarbon resource structure of the Huanghua Depression in Bohai Bay Basin was predicted by using this model. The prediction results accord with the knowledge of exploration in the Huanghua Depression, and point out the remaining resources potential and structure of different petroleum accumulation systems, which are of great significance for guiding future exploration in the Huanghua Depression.
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页码:22 / 27
页数:6
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